Microsoft has disclosed two critical security vulnerabilities affecting GitHub Copilot and Visual Studio Code that could allow attackers to bypass important security protections.
Both flaws were reported on November 11, 2025, and carry “Important” severity ratings, posing immediate risks to developers using these widely adopted tools.
| CVE ID | Affected Product | Impact Type | Max Severity | CVSS Score |
|---|---|---|---|---|
| CVE-2025-62449 | Microsoft Visual Studio Code Copilot Chat Extension | Security Feature Bypass | Important | 6.8 / 5.9 |
| CVE-2025-62453 | GitHub Copilot & Visual Studio Code | Security Feature Bypass | Important | 5.0 / 4.4 |
The vulnerabilities expose a dangerous gap in how AI-assisted development platforms handle security controls.
These flaws underscore growing concerns about integrating generative AI into sensitive development workflows where security protections are essential.
The Vulnerabilities
The first vulnerability, CVE-2025-62449, affects the Microsoft Visual Studio Code Copilot Chat Extension. This flaw stems from improper path-traversal handling, classified as CWE-22.
Attackers with local access and limited user privileges can exploit this weakness to achieve high-impact consequences.
The vulnerability requires user interaction but has a CVSS score of 6.8, indicating significant risk.
The second vulnerability, CVE-2025-62453, impacts both GitHub Copilot and Visual Studio Code.
This more severe flaw involves improper validation of generative AI output and broader failures in protection mechanisms.
Rather than simple path traversal, this vulnerability demonstrates how AI systems can bypass security validations by relying on insufficient output filtering.
With a CVSS score of 5.0, it represents a direct threat to code integrity and access controls.
These vulnerabilities create multiple attack vectors for malicious actors. Local attackers could manipulate file access, retrieve sensitive information, or inject malicious code into development projects.
The path traversal flaw particularly threatens source code repositories, configuration files, and development secrets stored on developer machines.
The weakness in generative AI validation is particularly concerning. It suggests that Copilot’s output could bypass security checks designed to prevent vulnerable code suggestions or unauthorized access patterns.
This means developers relying on AI suggestions might unknowingly implement compromised code into production environments.
Organizations using GitHub Copilot or Visual Studio Code should prioritize updating to patched versions immediately.
Microsoft has released fixes for both vulnerabilities, making updates critical for maintaining security posture.
These vulnerabilities highlight the challenges in securing AI-powered development tools. As organizations increasingly adopt generative AI for coding assistance, security must remain paramount.
Microsoft’s rapid disclosure and patching demonstrate a commitment to security. However, developers must remain vigilant about potential risks inherent in AI-generated code.
Regular updates, careful code review, and defense-in-depth strategies remain essential practices in the modern development environment.
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